Operations | Monitoring | ITSM | DevOps | Cloud

What’s the right way to manage growing volumes of enterprise data, while providing the consistency, data quality and governance required for analytics at scale? Is centralizing data management in a data lake the right approach? Or is a distributed data mesh architecture right for your organization? When it comes down to it, most organizations seeking these solutions are looking for a way to analyze data without having to move or transform it via complex extract, transform and load (ETL) pipelines.

Cloud FinOps is rapidly becoming popular among organizations in today’s digital age due to its ability to help manage financial operations more efficiently. This is because it allows organizations to track, measure, and optimize their cloud spend with greater visibility. It also helps improve operational efficiency by automating numerous financial processes, including billing, budgeting, auditing, and reporting.

Whenever we start a search consulting project from scratch, the obvious question is: which search engine to use? We’ve talked about Elasticsearch vs Solr before, but here we’ll compare Elasticsearch with its fork, OpenSearch. Chances are, if you need to decide between the two, you’ll be looking at a few dimensions.

Migrating an on-prem database to a public cloud comes with a number of benefits, such as no longer needing to manage and maintain physical infrastructure, dynamic scaling, disaster recovery, and overall cost reduction. However, migrating to the cloud can often be a complex and daunting task. For instance, if an organization is a Microsoft shop with teams that rely on SQL Server databases, Azure is a natural fit for its needs.

In industrial operations, time is money. The more efficient processes and machinery are, the better it is for business. Providing proactive monitoring and maintenance of industrial machines, however, is not an easy task. This is especially true as these machines become increasingly complex and distributed. It’s not possible to have maintenance crews on site for every asset in a distributed system. The edge is where the physical world meets the digital world.

We’re told that Apache Kafka® preserves message ordering per topic/partition, but how true is that, and how close can we come to making it true?

SAN FRANCISCO – March 21, 2023 – InfluxData, creator of the leading time series platform InfluxDB, today announced it has received the ISO/IEC 27001:2013 certification, a globally recognized standard for Information Security Management Systems (ISMS). The certificate scope comprises the ISMS supporting the operations underlying the InfluxDB database cloud and enterprise offerings. It also includes ISO/IEC 27018:2019 compliance for the protection of personally identifiable information.

It’s been less than 4 months since we released Cribl Search, the first federated query engine focused on observability and security data. The reception has been tremendous. Customers, partners, prospects, and even our internal teams were overjoyed by the initial offering but have been anxiously awaiting the promises of the next release. The wait is over!

SQL databases have several functions that reduce the complexity of working with date and time. Using these functions and a date and time type column, you can depend on SQL for the logic to write and read data with date and time. In this post, you’ll learn how to use the SQL date and time functions to get the current date and time.